Special Issues and Article Collections

2023-2024: The economics of artificial intelligence: business potentials and risks

Guest editor:

George Lăzăroiu

Curtin University, Australia; Toronto Metropolitan University, Canada; Cardiff Metropolitan University, United Kingdom

ORCID: 0000-0002-3422-6310

Web of Science ResearcherID: A-2262-2015

 

Our objective is to attract submissions on hot emerging topics covering how artificial intelligence technologies shape workplace automation, business management, sustainable finance and supply chains, green economic growth, industrial innovation, productivity and employment, IoT-based manufacturing industry,  value chain of circular economy, competitive capabilities, organizational performance, digital entrepreneurship, etc.

Empirical research and systematic reviews integrating the most recent and relevant sources in the field are considered in terms of sound questions, hypotheses, study designs, methods, data collection and analysis, applications, or interpretations. Adequate language level and a clear presentation are required for submitted manuscripts.

References

Abrardi, L., Cambini, C., & Rondi, L. (2022). Artificial intelligence, firms and consumer behavior: A survey.  Journal of Economic Surveys, 36(4), 969–991. doi: 10.1111/joes.12455

 Feuerriegel, S., Shrestha, Y.R., von Krogh, G., & Zhang, C. (2022). Bringing artificial intelligence to business management. Nature Machine Intelligence, 4, 611–613. doi: 10.1038/s42256-022-00512-5

Naz, F., Agrawal, R., Kumar, A., Gunasekaran, A., Majumdar, A., & Luthra, S. (2022). Reviewing the applications of artificial intelligence in sustainable supply chains: Exploring research propositions for future directions. Business Strategy and the Environment, 31(5), 2400–2423. doi: 10.1002/bse.3034

Yang, C.-H. (2022). How artificial intelligence technology affects productivity and employment: Firm-level evidence from Taiwan. Research Policy, 51(6), 104536. doi: 10.1016/j.respol.2022.104536.

Zhao, P., Gao, Y., & Sun, X. (2022). How does artificial intelligence affect green economic growth? –Evidence from China. Science of The Total Environment, 834, 155306. doi: 10.1016/j.scitotenv.2022.155306.

 

Important dates:

Economic Publishing Platform will be open since July 1, 2023.

Deadline for the submission of papers: July 30, 2024.

Publication: Current special issue is a VSI. Accepted papers will be published online immediately upon acceptance and will be included in the next available issue of the journal.

 

Editorial

Lazaroiu, G., & Rogalska, E. (2023). How generative artificial intelligence technologies shape partial job displacement and labor productivity growth. Oeconomia Copernicana, 14(3), 703–706. https://doi.org/10.24136/oc.2023.020

Articles

Lăzăroiu, G., Bogdan, M., Geamănu, M., Hurloiu, L., Luminița, L., & Ștefănescu, R. (2023). Artificial intelligence algorithms and cloud computing technologies in blockchain-based fintech management. Oeconomia Copernicana, 14(3), 707–730. https://doi.org/10.24136/oc.2023.021

Cramarenco, R. E., Burcă-Voicu, M. I., & Dabija, D. C. (2023). The impact of artificial intelligence (AI) on employees’ skills and well-being in global labor markets: A systematic review. Oeconomia Copernicana, 14(3), 731–767. https://doi.org/10.24136/oc.2023.022

Andronie, M., Iatagan, M., Uță, C., Hurloiu, I., Dijmărescu, A., & Dijmărescu, I. (2023). Big data management algorithms in artificial Internet of Things-based fintech. Oeconomia Copernicana, 14(3), 769–793. https://doi.org/10.24136/oc.2023.023

Dabija, D. C., & Vătămănescu , E.-M. (2023). Artificial intelligence: The future is already here. Oeconomia Copernicana, 14(4), 1053–1056. https://doi.org/10.24136/oc.2023.031

Yin, H.-T., Wen, J., & Chang, C.-P. (2023). Going green with artificial intelligence: The path of technological change towards the renewable energy transition. Oeconomia Copernicana, 14(4), 1059–1095. https://doi.org/10.24136/oc.2023.032

Kliestik, T., Nica, E., Durana, P., & Popescu, G. H. (2023). Artificial intelligence-based predictive maintenance, time-sensitive networking, and big data-driven algorithmic decision-making in the economics of Industrial Internet of Things. Oeconomia Copernicana, 14(4), 1097–1138. https://doi.org/10.24136/oc.2023.033

 

Articles in the field published in Equilibrium. Quarterly Journal of Economics and Economic Policy:

Piotrowski, D., & Orzeszko, W. (2023). Artificial intelligence and customers’ intention to use robo-advisory in banking services. Equilibrium. Quarterly Journal of Economics and Economic Policy, 18(4), 967–1007. https://doi.org/10.24136/eq.2023.031